Abstract: We propose a nonlinear optical approach for ultra-fast, matrix-vector multiplications as required in machine-learning tasks. Optical multiplication is experimentally demonstrated, with less ...

Optical computing uses photons instead of electrons to perform computations, which can significantly increase the speed and energy efficiency of computations by overcoming the inherent limitations of ...

Abstract: Graph Neural Network (GNN) is a variant of Deep Neural Networks on graphs and have been widely used in the real world. However, GNNs are more complex compared to traditional DNNs due to the ...

This project demonstrates how a resistive crossbar can be used to perform matrix-vector multiplication. The goal is to simulate a 4x4 resistive crossbar in SPICE, where the resistances at each ...

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